BayesMultMeta
0.1.1Bayesian Multivariate Meta-Analysis
Overview
Objective Bayesian inference procedures for the parameters of the multivariate random effects model with application to multivariate meta-analysis. The posterior for the model parameters, namely the overall mean vector and the between-study covariance matrix, are assessed by constructing Markov chains based on the Metropolis-Hastings algorithms as developed in Bodnar and Bodnar (2021) (arXiv:2104.02105). The Metropolis-Hastings algorithm is designed under the assumption of the normal distribution and the t-distribution when the Berger and Bernardo reference prior and the Jeffreys prior are assigned to the model parameters. Convergence properties of the generated Markov chains are investigated by the rank plots and the split hat-R estimate based on the rank normalization, which are proposed in Vehtari et al. (2021) (DOI:10.1214/20-BA1221).
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- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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People & History
2 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.1Latest
- 0.1.02022-05-17
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-05-17
- Total releases
- 2 / 4 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 17 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet